Compare two AI tools side by side
Put any two skills or MCP servers next to each other: risk grade, what each can access, how popular it is, and how to install it.
| What | xwang-mattpocock | awesome-muse-connectors |
|---|---|---|
| Risk grade | DD · High risk signals Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee. | CC · Moderate risk signals Based on public adoption and transparency signals as of Oct 22, 2026. Our opinion, not a code audit or security guarantee. |
| Type | AI agent skill | AI agent skill |
| Est. context load | ~55 tokens idle · ~1k tokens when active (on-demand skill) | ~64 tokens idle · ~450 tokens when active (on-demand skill) |
| GitHub stars | — | 1.4k |
| Weekly npm downloads | 64 | — |
| Local files | No local folder access noted | Reads local files |
| Command execution | No shell command runner noted | No shell command runner noted |
| Network reach | Local or standard API calls | Local or standard API calls |
| Credentials | No API token required | Requires API key or token |
| Package source | npm (xwang-mattpocock) | GitHub (Anil-matcha/awesome-muse-connectors) |
| Install command | npx -y xwang-mattpocock | Source repo only |
| Bottom line | Signal-based grade (1/7 points): public source code. This reflects adoption and transparency, not a code review. | Using connectors from a third-party catalog means trusting both the connector authors and the catalog maintainer; any connector can become a data leak if misconfigured, outdated, or malicious. |
Based on public adoption and transparency signals as of Oct 29, 2026. Our opinion, not a code audit or security guarantee.
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